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AngularJS VS Jupyter

Compare AngularJS VS Jupyter and see what are their differences

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AngularJS logo AngularJS

AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • AngularJS Landing page
    Landing page //
    2022-04-15
  • Jupyter Landing page
    Landing page //
    2023-06-22

AngularJS features and specs

  • Two-way data binding
    AngularJS's two-way data binding feature synchronizes data between the model and the view components, reducing the amount of boilerplate code required for data manipulation and improving ease of use.
  • Dependency Injection
    The built-in dependency injection mechanism in AngularJS facilitates better organization and management of services, making the code more modular, testable, and reusable.
  • Modular Development
    AngularJS allows developers to break down applications into modules. This modular approach helps in better code organization, easier maintenance, and parallel development.
  • Community and Ecosystem
    Backed by Google, AngularJS has a large and active community. This extensive support system provides a wealth of resources, plugins, and third-party tools that can facilitate the development process.
  • Directives
    Directives in AngularJS allow developers to extend HTML with new attributes and elements, enabling the creation of custom and reusable components with ease.
  • MVVM Architecture
    The Model-View-ViewModel (MVVM) architecture promotes the separation of concerns, allowing developers to work on different parts of the application without interfering with each other.

Possible disadvantages of AngularJS

  • Performance Issues
    AngularJS's two-way data binding can induce performance issues in large applications due to the constant checking and updating of the binding, which can impact the overall application speed.
  • Steep Learning Curve
    The complexity of AngularJS, with its various concepts such as directives, dependency injection, and MVVM architecture, can present a steep learning curve for new developers.
  • Migration Challenges
    Migrating from AngularJS to newer versions like Angular (2+), which are fundamentally different, poses significant challenges and often requires a complete codebase rewrite.
  • Verbose Code
    AngularJS's syntax can sometimes lead to verbose and complicated code, which can be difficult to read and maintain, especially for large-scale applications.
  • Limited Mobile Support
    Despite its strengths, AngularJS does not offer the same level of performance optimization for mobile applications, making it less ideal for mobile-first development compared to some other frameworks.
  • Legacy Framework
    AngularJS is considered a legacy framework with a focus shifted towards Angular (2+). As a result, it receives fewer updates and less community attention compared to newer frameworks.

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

AngularJS videos

+ Add

What Is AngularJS

More videos:

  • Review - AngularJS Fundamentals In 60-ish Minutes

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to AngularJS and Jupyter)

AngularJS

Jupyter

Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
JavaScript Framework
100 100%
JavaScript Framework
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AngularJS and Jupyter

AngularJS Reviews

Top JavaScript Frameworks in 2025
AngularJS is an open-source framework used for developing web applications. Google developed it and made it open-source in 2010. It is one of the top choices of developers when it comes to building web applications using JavaScript. Hire web developers from SolGuruz and allow us to help you build white-label solutions.
Source: solguruz.com
20 Next.js Alternatives Worth Considering
Yes, Angular Universal provides server-side rendering capabilities for Angular applications. This tool allows Angular apps to benefit from SSR, improving performance and SEO by rendering pages on the server before sending them to the client.
Source: tms-outsource.com
The 20 Best Laravel Alternatives for Web Development
NestJS is a Node.js framework that’s inspired by Angular, and guess what? It’s written in TypeScript. Building with Typescript is like you’re navigating with the stars. It’s all about sturdy architecture, a server-side framework that enjoys the scripting superness while piling on extra sturdiness.
Source: tms-outsource.com
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
9 Best JavaScript Frameworks to Use in 2023
Angular.js is a powerful JavaScript-based web development framework. It has been designed to make web development more efficient and easy to use. Angular.js is based on the Model-View-Controller (MVC) architecture, which makes it easy to develop dynamic web applications. It also provides many features that make web development more efficient, such as data binding, dependency...
Source: ninetailed.io

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Jupyter should be more popular than AngularJS. It has been mentiond 216 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AngularJS mentions (50)

  • Between Diapers and Development – How My Blog Came to Life with Eleventy
    To maximize learning, I could choose something new. Normally, I consider that a valid reason. But given my limited time, that wasn't a priority for me. Another criterion could be long-term viability: Is there a large core team and an active community? Well, who still remembers AngularJS? From Google? And didn’t Facebook/Meta start Jest? I wouldn’t rely too much on that. - Source: dev.to / about 1 month ago
  • 11 Quick and Easy Tips for Optimizing AngularJS Performance
    AngularJS is an open-source JavaScript framework that developers use to build frontend applications. It comes with modular support, an extensive community, and all the tools that help develop and manage dynamic frontend web apps. - Source: dev.to / 4 months ago
  • Angular Tutorial: Host Element Binding
    Ok, what we'll use now is something that existed back in the day, after we switched from AngularJS to Angular 2 or modern Angular. We'll use the old/new host property on the component decorator. - Source: dev.to / 10 months ago
  • ⏰ It’s time to talk about Import Map, Micro Frontend, and Nx Monorepo
    Just to give you more context, I led the migration of several AngularJS applications to the newer Angular Framework. My client finally decided to make that move following the AngularJS deprecation announcement (stay up to date please 🙏)️. - Source: dev.to / about 1 year ago
  • JS Toolbox 2024: Essential Picks for Modern Developers Series Overview
    The next post in the series provides a thorough comparison of popular frameworks like React, Vue, Angular, and Svelte, focusing on their unique features and suitability for different project types. - Source: dev.to / about 1 year ago
View more

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
View more

What are some alternatives?

When comparing AngularJS and Jupyter, you can also consider the following products

Vue.js - Reactive Components for Modern Web Interfaces

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

React - A JavaScript library for building user interfaces

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

ember.js - A JavaScript framework for creating ambitious web apps

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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